Optimal Sobolev Approximation by Deterministic and Random Shallow Sigmoidal Networks
Optimal Sobolev Approximation by Deterministic and Random Shallow Sigmoidal Networks. Preprint · Under review, 2026.
zhaohui-fu
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Moment-Informed Force Rescaling for Random-Batch Langevin Dynamics
Moment-Informed Force Rescaling for Random-Batch Langevin Dynamics. Preprint · Under review, 2026.
xingguo-wu
Many-Body Coarse-Grained Molecular Dynamics with the Atomic Cluster Expansion
Many-Body Coarse-Grained Molecular Dynamics with the Atomic Cluster Expansion. Preprint, 2025.
Local Surrogates for Harmonic Vibrational Entropy in Multilattices
Local Surrogates for Harmonic Vibrational Entropy in Multilattices. Preprint · Under review, 2026.
tina-torabi
Liquid Random Feature Methods for Time-Dependent Partial Differential Equations
Liquid Random Feature Methods for Time-Dependent Partial Differential Equations. Preprint · Under review, 2026.
jiale-linghu
Geometry-Preserving Nudged Elastic Band and Dimer Methods under Anisotropic Force Uncertainty
Geometry-Preserving Nudged Elastic Band and Dimer Methods under Anisotropic Force Uncertainty. Preprint · Under review, 2026.
yifan-yu
From Energy-Force Weighting to Primal-Dual Optimization of Machine-Learned Interatomic Potentials
From Energy-Force Weighting to Primal-Dual Optimization of Machine-Learned Interatomic Potentials. Preprint · Under review, 2026.
chenyu-wang
Formulation and Analysis of Blended Atomistic to Higher-Order Continuum Coupling Methods for Crystalline Defects
Formulation and Analysis of Blended Atomistic to Higher-Order Continuum Coupling Methods for Crystalline Defects. Preprint, 2025.
junfeng-lu
Analysis of Hessian Variance Scaling for Local and Global Cost Functions in Variational Quantum Algorithms
Analysis of Hessian Variance Scaling for Local and Global Cost Functions in Variational Quantum Algorithms. Preprint · Under review, 2026.
yihan-huang
A Study on the Fine-Tuning Performance of Universal Machine-Learned Interatomic Potentials (U-MLIPs)
A Study on the Fine-Tuning Performance of Universal Machine-Learned Interatomic Potentials (U-MLIPs). Preprint, 2025.
xiaoqing-liu